[Feature] Add support for python 3.13 and other migration related fixes (#1279)

.github/workflows/ci.yml

@@ -39,7 +39,7 @@ jobs:
           path: .venv
           key: venv-${{ runner.os }}-${{ hashFiles('**/poetry.lock') }}
       - name: Install dependencies
-        run: poetry install --all-extras
+        run: make install_all
         if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
       - name: Lint with ruff
         run: make lint

Makefile

@@ -11,6 +11,7 @@ install:
 
 install_all:
 	poetry install --all-extras
+	poetry run pip install pinecone-text pinecone-client
 
 install_es:
 	poetry install --extras elasticsearch
@@ -37,6 +38,12 @@ clean:
 lint:
 	poetry run ruff .
 
+build:
+	poetry build
+
+publish:
+	poetry publish
+
 # for example: make test file=tests/test_factory.py
 test:
 	poetry run pytest $(file)

docs/components/vector-databases/pinecone.mdx

@@ -7,7 +7,7 @@ title: Pinecone
 Install pinecone related dependencies using the following command:
 
 ```bash
-pip install --upgrade 'embedchain[pinecone]'
+pip install --upgrade 'pinecone-client pinecone-text'
 ```
 
 In order to use Pinecone as vector database, set the environment variable `PINECONE_API_KEY` which you can find on [Pinecone dashboard](https://app.pinecone.io/).

embedchain/alembic.ini

@@ -2,7 +2,7 @@
 
 [alembic]
 # path to migration scripts
-script_location = embedchain/migrations
+script_location = embedchain:migrations
 
 # template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
 # Uncomment the line below if you want the files to be prepended with date and time

embedchain/vectordb/pinecone.py

@@ -6,7 +6,7 @@ try:
     import pinecone
 except ImportError:
     raise ImportError(
-        "Pinecone requires extra dependencies. Install with `pip install --upgrade 'embedchain[pinecone]'`"
+        "Pinecone requires extra dependencies. Install with `pip install pinecone-text pinecone-client`"
     ) from None
 
 from pinecone_text.sparse import BM25Encoder
@@ -102,9 +102,10 @@ class PineconeDB(BaseVectorDB):
         existing_ids = list()
         metadatas = []
 
+        batch_size = 100
         if ids is not None:
-            for i in range(0, len(ids), 1000):
-                result = self.pinecone_index.fetch(ids=ids[i : i + 1000])
+            for i in range(0, len(ids), batch_size):
+                result = self.pinecone_index.fetch(ids=ids[i : i + batch_size])
                 vectors = result.get("vectors")
                 batch_existing_ids = list(vectors.keys())
                 existing_ids.extend(batch_existing_ids)

notebooks/pinecone.ipynb

@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "!pip install embedchain[pinecone]"
+        "!pip install embedchain pinecone-client pinecone-text"
       ]
     },
     {

poetry.lock

@@ -1020,7 +1020,10 @@ files = [
 ]
 
 [package.dependencies]
-numpy = {version = ">=1.16,<2.0", markers = "python_version <= \"3.11\""}
+numpy = [
+    {version = ">=1.16,<2.0", markers = "python_version <= \"3.11\""},
+    {version = ">=1.26.0rc1,<2.0", markers = "python_version >= \"3.12\""},
+]
 
 [package.extras]
 bokeh = ["bokeh", "selenium"]
@@ -1943,6 +1946,7 @@ google-cloud-storage = ">=1.32.0,<3.0.0dev"
 packaging = ">=14.3"
 proto-plus = ">=1.22.0,<2.0.0dev"
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+setuptools = {version = "*", markers = "python_version >= \"3.12\""}
 shapely = "<3.0.0dev"
 
 [package.extras]
@@ -3599,50 +3603,6 @@ httpx = ">=0.25.2,<0.26.0"
 orjson = ">=3.9.10,<4.0.0"
 pydantic = ">=2.5.2,<3.0.0"
 
-[[package]]
-name = "mmh3"
-version = "3.1.0"
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-optional = true
-python-versions = "*"
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-]
-
 [[package]]
 name = "mock"
 version = "5.1.0"
@@ -3972,43 +3932,47 @@ setuptools = "*"
 
 [[package]]
 name = "numpy"
-version = "1.26.1"
+version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
-python-versions = "<3.13,>=3.9"
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+    {file = "scipy-1.12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:913d6e7956c3a671de3b05ccb66b11bc293f56bfdef040583a7221d9e22a2e35"},
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+    {file = "scipy-1.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6546dc2c11a9df6926afcbdd8a3edec28566e4e785b915e849348c6dd9f3f490"},
+    {file = "scipy-1.12.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:196ebad3a4882081f62a5bf4aeb7326aa34b110e533aab23e4374fcccb0890dc"},
+    {file = "scipy-1.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:b360f1b6b2f742781299514e99ff560d1fe9bd1bff2712894b52abe528d1fd1e"},
+    {file = "scipy-1.12.0.tar.gz", hash = "sha256:4bf5abab8a36d20193c698b0f1fc282c1d083c94723902c447e5d2f1780936a3"},
+]
+
+[package.dependencies]
+numpy = ">=1.22.4,<1.29.0"
 
 [package.extras]
 dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
 doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
-test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+test = ["asv", "gmpy2", "hypothesis", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
 name = "sentence-transformers"
@@ -8135,16 +8057,6 @@ MarkupSafe = ">=2.1.1"
 [package.extras]
 watchdog = ["watchdog (>=2.3)"]
 
-[[package]]
-name = "wget"
-version = "3.2"
-description = "pure python download utility"
-optional = true
-python-versions = "*"
-files = [
-    {file = "wget-3.2.zip", hash = "sha256:35e630eca2aa50ce998b9b1a127bb26b30dfee573702782aa982f875e3f16061"},
-]
-
 [[package]]
 name = "wheel"
 version = "0.41.2"
@@ -8426,7 +8338,6 @@ modal = ["modal"]
 mysql = ["mysql-connector-python"]
 opensearch = ["opensearch-py"]
 opensource = ["gpt4all", "sentence-transformers", "torch"]
-pinecone = ["pinecone-client", "pinecone-text"]
 poe = ["fastapi-poe"]
 postgres = ["psycopg", "psycopg-binary", "psycopg-pool"]
 qdrant = ["qdrant-client"]
@@ -8441,5 +8352,5 @@ youtube = ["youtube-transcript-api", "yt_dlp"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.9,<3.12"
-content-hash = "e62b0c29fbd4b394814cff9a59ed4a22e0e8b09ec9a9bf8fc34533cee810a2f3"
+python-versions = ">=3.9,<=3.13"
+content-hash = "dd8170456964971552e90268a2a42e663f97e296bc2a3c2a139bde689ea13626"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "embedchain"
-version = "0.1.81"
+version = "0.1.82"
 description = "Simplest open source retrieval(RAG) framework"
 authors = [
     "Taranjeet Singh <taranjeet@embedchain.ai>",
@@ -123,9 +123,7 @@ cohere = { version = "^4.27", optional = true }
 together = { version = "^0.2.8", optional = true }
 weaviate-client = { version = "^3.24.1", optional = true }
 docx2txt = { version = "^0.8", optional = true }
-pinecone-client = { version = "^3.0.0", optional = true }
-pinecone-text = { version = "^0.8.0", optional = true }
-qdrant-client = { version = "1.6.3", optional = true }
+qdrant-client = { version = "^1.6.3", optional = true }
 unstructured = {extras = ["local-inference", "all-docs"], version = "^0.10.18", optional = true}
 huggingface_hub = { version = "^0.17.3", optional = true }
 pymilvus = { version = "2.3.1", optional = true }
@@ -181,7 +179,6 @@ discord = ["discord"]
 slack = ["slack-sdk", "flask"]
 whatsapp = ["twilio", "flask"]
 weaviate = ["weaviate-client"]
-pinecone = ["pinecone-client", "pinecone-text"]
 qdrant = ["qdrant-client"]
 huggingface_hub=["huggingface_hub"]
 cohere = ["cohere"]